Neocloud provider QumulusAI said today that it will starting trading Thursday as a publicly traded company on Nasdaq under the ticker symbol QMLS via a direct listing. For those unfamiliar with the process, the typical initial public offering takes time and requires an investment banker, whereas a direct listing does not create new shares. Instead, existing shareholders sell their shares to the public without an underwriter.
Couchbase Inc. is trying to solve one of the hardest problems in enterprise artificial intelligence today: turning brittle, chat-style pilots into production-grade agents capable of remembering, reasoning and acting on live operational data. With the launch of its AI Data Plane, the company is betting that the real bottleneck for “agentic” AI isn’t the model — it’s the underlying data architecture.
Artificial intelligence played a prominent role at this week’s Bio International Convention in San Diego, the largest biotech event with vendors spanning the full ecosystem of companies in this industry. Today in a special address, Kimberly Powell (pictured), vice president and general manager of healthcare and life sciences at Nvidia Corp., made the case that agentic AI is about to do for biotech what it just did for software — and the company’s BioNeMo is the stack that turns generic large language models into working “AI scientists” that are both faster and cheaper to run.
When Amazon Web Services Inc. held its New York Summit last week, Vice President of Agentic AI Swami Sivasubramanian as usual was the headline act, delivering the opening keynote. Sivasubramanian made the case to enterprise leaders that the artificial intelligence conversation has moved beyond pilots and productivity hacks into a world where the real advantage lies in compounding momentum across work, security, software delivery and data.
Artificial intelligence dominated headlines and keynotes at every event I’ve attended this year, including the recent Cisco Live 2026. Though the thirst for AI has been insatiable for a couple of years, customer feedback at the event showed that the era of AI curiosity has given way to AI urgency. Information technology and business leaders are no longer satisfied with conversational chatbots or basic AI scribes that merely summarize meetings or draft text. They want systems that proactively identify and resolve problems across their massive, complex IT estates.